Suxia Zhu

25 papers B 1C 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A class-aware calibration and balanced consistency weighting framework for Federated Semi-Supervised Learning.
Eng. Appl. Artif. Intell.
Suxia Zhu, Jifa Jin, Wenjie Yao, Guanglu Sun
2026 J jnl
CBiHCL: A collaborative bi-stream hierarchical contrastive learning for fault diagnosis under unseen working conditions.
Inf. Sci.
Peng Wu, Suxia Zhu, Yongjun He, Bo Ding
2026 J jnl
CITR: Context-driven implicit triple reasoning for joint multimodal entity-relation extraction.
Inf. Process. Manag.
Xinyu Liu, Guanglu Sun, Jing Jin, Fei Lang, Suxia Zhu
2026 J jnl
DI-OOB: Leveraging data incompatibility to enhance out-of-bag estimate for data valuation.
Expert Syst. Appl.
Yuqi Jiao, Guanglu Sun, Zhenhua Wang, Baiyu Sun, Suxia Zhu
2026 J jnl
DP-HM2F: Data-driven LoRA with dual-projection representation for heterogeneous multimodal federated fine-tuning.
Expert Syst. Appl.
Yu Yang, Suxia Zhu, Guanglu Sun, Zian He, Xinyu Liu, Kai Zhou, Xiaojuan Cui
2026 J jnl
FedERFT: Improving federated learning through feature-enriched regularization and post-aggregation fine-tuning.
Knowl. Based Syst.
Suxia Zhu, Chuanhua Qiu, Guanglu Sun
2026 J jnl
MPCL: Multimodal prompt learning for continual relation extraction with type-aware inter-modality alignment.
Inf. Fusion
Xinyu Liu, Guanglu Sun, Fei Lang, Suxia Zhu
2026 J jnl
Parameter-efficient fine-tuning for no-reference image quality assessment: Empirical studies on vision transformer.
Displays
Guanglu Sun, Kaiwei Lei, Tianlin Li, Linsen Yu, Suxia Zhu
2026 J jnl
Tackling data heterogeneity in federated learning through knowledge distillation with inequitable aggregation.
Eng. Appl. Artif. Intell.
Xing Ma, Suxia Zhu, Chuanhua Qiu, Guanglu Sun
2025 J jnl
AHFL: A Resource-Adaptive Approach for Data-Heterogeneity-Aware Federated Learning.
IEEE Internet Things J.
Yu Yang, Suxia Zhu, Guanglu Sun, Wenwu Zheng
2025 J jnl
FedLDR: Federated optimization with label distribution-aware representations.
Neurocomputing
Suxia Zhu, Yu Yang, Guanglu Sun
2025 J jnl
FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning.
IEEE Trans. Ind. Informatics
Wenjie Yao, Guanglu Sun, Suxia Zhu, Ruidong Wang, Xinzhong Zhu, Huiying Xu, Xiguang Wei
2025 J jnl
Federated semi-supervised learning based on truncated Gaussian aggregation.
J. Supercomput.
Suxia Zhu, Yunmeng Wang, Guanglu Sun
2024 C conf
OOB-CM: Enhancing OOB Estimate for Data Valuation via Curriculum Learning and Multi-round Voting.
GPC
Yuqi Jiao, Guanglu Sun, Zhenhua Wang, Jing Jin, Fei Lang, Suxia Zhu
2024 J jnl
Two-stage sampling with predicted distribution changes in federated semi-supervised learning.
Knowl. Based Syst.
Suxia Zhu, Xing Ma, Guanglu Sun
2023 J jnl
Layer-Wise Personalized Federated Learning with Hypernetwork.
Neural Process. Lett.
Suxia Zhu, Tianyu Liu, Guanglu Sun
2021 J jnl
Movie Recommendation System for Educational Purposes Based on Field-Aware Factorization Machine.
Mob. Networks Appl.
Fei Lang, Lili Liang, Kai Huang, Teng Chen, Suxia Zhu
2019 J jnl
Tuning lock-based multicore program based on sliding windows to tolerate data race.
J. Supercomput.
Suxia Zhu, Zhigang Chen, Guanglu Sun
2016 — conf
Traffic Collection and Analysis System.
ICYCSEE (2)
Jinlai Liu, Haitao Wen, Xiangyu Hou, Guanglu Sun, Suxia Zhu
2015 J jnl
Set-Granular Regional Distributed Cooperative Caching.
IEEE Comput. Archit. Lett.
Fengkai Yuan, Zhenzhou Ji, Suxia Zhu
2013 — conf
A Performance Study of Software Prefetching for Tracing Garbage Collectors.
APPT
Hao Wu, Zhenzhou Ji, Suxia Zhu, Zhigang Chen
2013 J jnl
An efficient deterministic record-replay with separate dependencies.
Comput. Electr. Eng.
Suxia Zhu, Zhenzhou Ji, Qing Wang
2012 B conf
A Synchronization Aware Memory Race Recorder.
ICPADS
Suxia Zhu, Zhenzhou Ji, Zhigang Chen, Qing Wang, Hao Wu
2012 C conf
An Efficient Point-to-Point Deterministic Record-Replay Enhanced with Signatures.
PDCAT
Suxia Zhu, Zhenzhou Ji, Qing Wang, Hao Wu
2012 J jnl
CCTR: An efficient point-to-point memory race recorder implemented in chunks.
Microprocess. Microsystems
Suxia Zhu, Zhenzhou Ji, Tao Liu, Qing Wang